In this paper we study the problem of how to identify multiple disjoint paths that have the minimum total cost OPT and satisfy a delay bound D in a graph G. This problem has lots of applications in networking such as fault-tolerant quality of service (QoS) routing and network-flow load balancing. Recently, several approximation algorithms have been developed for this problem. Here, we propose a new approximation algorithm for it by using the Lagrangian Relaxation method. We then present a simple approximation algorithm for finding multiple link-disjoint paths that satisfy the delay constraints at a reasonable total cost. If the optimal solution under delay-bound D has a cost OPT, then our algorithm can find a solution whose delay is bounded by (1+
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Chao PENG, Hong SHEN, "A New Approximation Algorithm for Computing 2-Restricted Disjoint Paths" in IEICE TRANSACTIONS on Information,
vol. E90-D, no. 2, pp. 465-472, February 2007, doi: 10.1093/ietisy/e90-d.2.465.
Abstract: In this paper we study the problem of how to identify multiple disjoint paths that have the minimum total cost OPT and satisfy a delay bound D in a graph G. This problem has lots of applications in networking such as fault-tolerant quality of service (QoS) routing and network-flow load balancing. Recently, several approximation algorithms have been developed for this problem. Here, we propose a new approximation algorithm for it by using the Lagrangian Relaxation method. We then present a simple approximation algorithm for finding multiple link-disjoint paths that satisfy the delay constraints at a reasonable total cost. If the optimal solution under delay-bound D has a cost OPT, then our algorithm can find a solution whose delay is bounded by (1+
URL: https://globals.ieice.org/en_transactions/information/10.1093/ietisy/e90-d.2.465/_p
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@ARTICLE{e90-d_2_465,
author={Chao PENG, Hong SHEN, },
journal={IEICE TRANSACTIONS on Information},
title={A New Approximation Algorithm for Computing 2-Restricted Disjoint Paths},
year={2007},
volume={E90-D},
number={2},
pages={465-472},
abstract={In this paper we study the problem of how to identify multiple disjoint paths that have the minimum total cost OPT and satisfy a delay bound D in a graph G. This problem has lots of applications in networking such as fault-tolerant quality of service (QoS) routing and network-flow load balancing. Recently, several approximation algorithms have been developed for this problem. Here, we propose a new approximation algorithm for it by using the Lagrangian Relaxation method. We then present a simple approximation algorithm for finding multiple link-disjoint paths that satisfy the delay constraints at a reasonable total cost. If the optimal solution under delay-bound D has a cost OPT, then our algorithm can find a solution whose delay is bounded by (1+
keywords={},
doi={10.1093/ietisy/e90-d.2.465},
ISSN={1745-1361},
month={February},}
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TY - JOUR
TI - A New Approximation Algorithm for Computing 2-Restricted Disjoint Paths
T2 - IEICE TRANSACTIONS on Information
SP - 465
EP - 472
AU - Chao PENG
AU - Hong SHEN
PY - 2007
DO - 10.1093/ietisy/e90-d.2.465
JO - IEICE TRANSACTIONS on Information
SN - 1745-1361
VL - E90-D
IS - 2
JA - IEICE TRANSACTIONS on Information
Y1 - February 2007
AB - In this paper we study the problem of how to identify multiple disjoint paths that have the minimum total cost OPT and satisfy a delay bound D in a graph G. This problem has lots of applications in networking such as fault-tolerant quality of service (QoS) routing and network-flow load balancing. Recently, several approximation algorithms have been developed for this problem. Here, we propose a new approximation algorithm for it by using the Lagrangian Relaxation method. We then present a simple approximation algorithm for finding multiple link-disjoint paths that satisfy the delay constraints at a reasonable total cost. If the optimal solution under delay-bound D has a cost OPT, then our algorithm can find a solution whose delay is bounded by (1+
ER -